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How Betting Platforms Use Machine Learning for Fraud Detection
Fraud remains one of the biggest challenges for betting platforms. This article explains how machine learning helps spot ...
Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...
Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a ...
Since the dawn of the computer age, researchers have wrestled with two persistent challenges: how to store ever-increasing ...
Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
By replacing repeated fine‑tuning with a dual‑memory system, MemAlign reduces the cost and instability of training LLM judges ...
Many high-performance HEAs used in areas such as aerospace engines, gas turbines, and nuclear power plants employ CRMs such as tantalum, niobium, tungsten, and hafnium. These elements are expensive, ...
Learn how sales intelligence ensures firmographic accuracy in 2025. Rohit Muthyala details machine learning pipelines and ...
Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
In 1854, London was struck by a devastating cholera outbreak. Public authorities responded using the best tools and scientific understanding available at the time.Disease was widely believed to spread ...
Educators debate AI in classrooms; responsible use teaches students skills, creativity, and workplace readiness.
From agentic underwriting to patent-pending risk models, Piramal Finance, a wholly owned subsidiary of Piramal Enterprises Limited, and a ...
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